Results 81 to 90 of about 7,006,651 (299)
FEBS Letters, EarlyView.This review focuses on the role of autophagy and mitophagy in maintaining pancreatic β‐cell function and homeostasis. We discuss how genetic defects affecting these pathways contribute to the development of type 1, type 2, monogenic, and gestational diabetes. We further explore their potential as therapeutic targets. Created in BioRender.
Yunkyeong Lee +2 more
wiley +1 more source
Learning Distance Metrics for Entity Resolution
IEEE Access, 2018 Entity resolution (ER) is to find database records that refer to the same real-world entity. A key component for ER is to choose a proper distance (similarity) function for each database field to quantify the similarity of records.
Lingli Li +3 more
doaj +1 more source
Metric Selection and Metric Learning for Matching Tasks [PDF]
, 2020 A quarter of a century after the world-wide web was born, we have grown accustomed to having easy access to a wealth of data sets and open-source software. The value of these resources is restricted if they are not properly integrated and maintained. A lot of this work boils down to matching; finding existing records about entities and enriching them ...
openaire +2 more sources
Metric learning for synonym acquisition [PDF]
Proceedings of the 22nd International Conference on Computational Linguistics - COLING '08, 2008 The distance or similarity metric plays an important role in many natural language processing (NLP) tasks. Previous studies have demonstrated the effectiveness of a number of metrics such as the Jaccard coefficient, especially in synonym acquisition. While the existing metrics perform quite well, to further improve performance, we propose the use of a ...
Nobuyuki Shimizu +4 more
openaire +2 more sources
Machine Learning Model Performance Metric - Confusion Matrix
, 2021 Machine Learning Model Performance Metric - Confusion ...
Faisal Faqih (8945270)
core +1 more source
Emerging experimental and computational methods for studying redox‐regulated structural transitions
FEBS Letters, EarlyView.Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass +2 more
wiley +1 more source
Improved Metric-Based Recommender by Historical Interactions
IEEE Access, 2019 A remarkable success in recommendations has been achieved by using methods based on metric learning, especially in digital marketing. However, the existing methods do not consider the relative preferences among items that users like.
Yubo Jiang, Yunfang Zhu, Xin Du, Tao Jin
doaj +1 more source
CoRR, 2012 We propose a solution to the problem of estimating a Riemannian metric associated with a given differentiable manifold. The metric learning problem is based on minimizing the relative volume of a given set of points. We derive the details for a family of metrics on the multinomial simplex.
openaire +3 more sources
Self-Supervised Lie Algebra Representation Learning via Optimal Canonical Metric
Learning discriminative representation with limited training samples is emerging as an important yet challenging visual categorization task. While prior work has shown that incorporating self-supervised learning can improve performance, we found that the
Yu, Xiaohan +3 more
core +1 more source
Prospecting the protein design landscape
FEBS Letters, EarlyView.This review outlines the current state of various protein design approaches. We discuss the current possibilities enabled by recently released tools, highlight future avenues to pursue in protein design, and underscore the crucial role of key databases and resources for successful protein design workflows.
Jakob R. Riccabona +4 more
wiley +1 more source